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University of Surrey: Financial Data Science
| Institution | University of Surrey View institution profile |
|---|---|
| Department | FEPS - Faculty of Engineering and Physical Sciences |
| Web | www.surrey.ac.uk |
| admissions@surrey.ac.uk | |
| Telephone | +44(0)1483 682222 |
| Study type | Taught |
Summary
Why choose this course Data science has become essential in managing many day-to-day aspects of financial markets over the past two decades. Using data sets, banks and financial institutions can unravel all kinds of facts, trends, anomalies and patterns – but only with the right technical skills and understanding. Our cutting-edge course combines artificial intelligence (AI), data science, financial modelling and economic theory, and grounds you in the latest thinking in this area.
Taught by expert staff and supported by industrial advisers from financial City institutions, and studying in Guildford – within easy reach of London’s financial hub – the course will greatly enhance your employability in financial and related areas.
What you will study Our Financial Data Science MSc is a comprehensive course which covers the fundamentals of financial markets, modelling, and applying AI for market analysis.
You’ll learn how to implement cutting-edge data science methods and develop a solid understanding of the mathematical foundations of machine learning tools. You’ll also dive into the dynamics of financial markets – exploring asset pricing, risk management and portfolio theory. You will master advanced modelling techniques and quantitative methods to analyse real-world financial data, and you’ll discover the transformative power of AI and machine learning in deciphering market behaviours and making data-driven predictions. Through practical hands-on exercises and projects, you’ll gain the skills to apply these techniques effectively, enabling you to excel in this evolving and exciting field.
The MSc benefits from the wide range of mathematics research at Surrey. These inform the taught modules you will study and the topic of your extended research project.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in computer science, electrical or electronic engineering, mathematics, physics, related disciplines with demonstrable exposure to programming and mathematics, or other alternative subjects related to data analysis, data science or informatics, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements. |
| Location | Stag Hill Stag Hill Guildford GU2 7XH |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in computer science, electrical or electronic engineering, mathematics, physics, related disciplines with demonstrable exposure to programming and mathematics, or other alternative subjects related to data analysis, data science or informatics, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements. |
| Location | Stag Hill Stag Hill Guildford GU2 7XH |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in computer science, electrical or electronic engineering, mathematics, physics, related disciplines with demonstrable exposure to programming and mathematics, or other alternative subjects related to data analysis, data science or informatics, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements. |
| Location | Stag Hill Stag Hill Guildford GU2 7XH |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in computer science, electrical or electronic engineering, mathematics, physics, related disciplines with demonstrable exposure to programming and mathematics, or other alternative subjects related to data analysis, data science or informatics, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements. |
| Location | Stag Hill Stag Hill Guildford GU2 7XH |
Overview
Welcome to the University of Surrey, a global community of more than 16,000 students from 140 countries.
We’re based in the popular town of Guildford, just 35 minutes from central London by train. Our beautiful, green campus is home to outstanding learning facilities in every faculty, plus a comprehensive range of student services, a wide choice of accommodation and dedicated support for international students, to help you make the most of university life.
Master’s programmes
At Surrey, we want to shape the world for the better. If you’re considering postgraduate study, it’s likely you do too.
We have three …
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